The Resource Data analysis : what can be learned from the past 50 years, Peter J. Huber
Data analysis : what can be learned from the past 50 years, Peter J. Huber
Resource Information
The item Data analysis : what can be learned from the past 50 years, Peter J. Huber represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Data analysis : what can be learned from the past 50 years, Peter J. Huber represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
 Summary

 "This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the timetested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through handson case studies) and anecdotes (through reallife applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy  when to use which technique  are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any presentday text in data analysis, robust statistics, data mining, statistical learning, or computational statistics"Provided by publisher
 "This book explores the many provocative questions concerning the fundamentals of data analysis"
 Language
 eng
 Extent
 1 online resource (xiv, 210 pages)
 Contents

 What Is Data Analysis?
 Strategy Issues in Data Analysis
 Massive Data Sets
 Languages for Data Analysis
 Approximate Models
 Pitfalls
 Create Order in Data
 More Case Studies
 Wiley Series in Probability and Statistics
 Isbn
 9781118018262
 Label
 Data analysis : what can be learned from the past 50 years
 Title
 Data analysis
 Title remainder
 what can be learned from the past 50 years
 Statement of responsibility
 Peter J. Huber
 Language
 eng
 Summary

 "This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the timetested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through handson case studies) and anecdotes (through reallife applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy  when to use which technique  are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any presentday text in data analysis, robust statistics, data mining, statistical learning, or computational statistics"Provided by publisher
 "This book explores the many provocative questions concerning the fundamentals of data analysis"
 Assigning source
 Provided by publisher
 Cataloging source
 YDXCP
 http://library.link/vocab/creatorName
 Huber, Peter J
 Dewey number
 519.509
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA276.15
 LC item number
 .H83 2011
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 Series statement
 Wiley series in probability and statistics
 http://library.link/vocab/subjectName

 Mathematical statistics
 Mathematical statistics
 Numerical analysis
 MATHEMATICS
 Mathematical statistics
 Mathematical statistics
 Label
 Data analysis : what can be learned from the past 50 years, Peter J. Huber
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 mixed
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 What Is Data Analysis?  Strategy Issues in Data Analysis  Massive Data Sets  Languages for Data Analysis  Approximate Models  Pitfalls  Create Order in Data  More Case Studies  Wiley Series in Probability and Statistics
 Control code
 727106414
 Dimensions
 unknown
 Extent
 1 online resource (xiv, 210 pages)
 Form of item
 online
 Isbn
 9781118018262
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Other physical details
 illustrations.
 http://library.link/vocab/ext/overdrive/overdriveId

 cl0500000169
 2647690d757542f3b600c71ac048dfa0
 Specific material designation
 remote
 System control number
 (OCoLC)727106414
 Label
 Data analysis : what can be learned from the past 50 years, Peter J. Huber
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 mixed
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 What Is Data Analysis?  Strategy Issues in Data Analysis  Massive Data Sets  Languages for Data Analysis  Approximate Models  Pitfalls  Create Order in Data  More Case Studies  Wiley Series in Probability and Statistics
 Control code
 727106414
 Dimensions
 unknown
 Extent
 1 online resource (xiv, 210 pages)
 Form of item
 online
 Isbn
 9781118018262
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Other physical details
 illustrations.
 http://library.link/vocab/ext/overdrive/overdriveId

 cl0500000169
 2647690d757542f3b600c71ac048dfa0
 Specific material designation
 remote
 System control number
 (OCoLC)727106414
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Dataanalysiswhatcanbelearnedfromthepast/cl99Pu2G5uw/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Dataanalysiswhatcanbelearnedfromthepast/cl99Pu2G5uw/">Data analysis : what can be learned from the past 50 years, Peter J. Huber</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>